2 papers
stat.ME2017
On estimation in varying coefficient models for sparse and irregularly sampled functional data
Behdad Mostafaiy
In this paper, we study a smoothness regularization method for a varying coefficient model based on sparse and irregularly sampled functional data which is contaminated with some m…
stat.ME2017
Optimal estimation in functional linear regression for sparse noise-contaminated data
Behdad Mostafaiy, MohammadReza FaridRohani, Shojaeddin Chenouri
In this paper, we propose a novel approach to fit a functional linear regression in which both the response and the predictor are functions of a common variable such as time. We co…